Neural Networks in QSAR and Drug Design

Comprehensive and impeccably edited, Neural Networks in QSAR and Drug Design is the first book to present an all-inclusive coverage of the topic. The book provides a practice-oriented introduction to the different neural network paradigms, allowing the reader to easily understand and reproduce the results demonstrated. Numerous examples are detailed, demonstrating a variety of applications to QSAR and drug design. The contributors include some of the most distinguished names in the field, and the book provides an exhaustive bibliography, guiding readers to all the literature related to a particular type of application or neural network paradigm. The extensive index acts as a guide to the book, and makes retrieving information from chapters an easy task. A further research aid is a list of software with indications of availablility and price, as well as the editors scale rating the ease of use and interest/price ratio of each software package. The presentation of new, powerful tools for modeling molecular properties and the inclusion of many important neural network paradigms, coupled with extensive reference aids, makes Neural Networks in QSAR and Drug Design an essential reference source for those on the frontiers of this field.

Here is a unique book that enables you to use neural networks in molecular modeling. Not just another book about neural networks, Neural Networks in QSAR and Drug Design offers:

A clear and simple description of the main
neural network paradigms

Access to more than 10,000 bibliographical
references on neural networks

Actual case studies showing how supervised and
unsupervised neural networks can be used to
solve real-world structure-activity problems
in pharmacology, toxicology, agrochemistry,
and environmental chemistry

A wealth of practical hints to use neural
networks in QSAR and drug design

Information on the strengths and weaknesses
of neural networks in the discipline

A useful companion volume also published in the series Principles of QSAR and Drug Design:

GENETIC ALGORITHMS IN MOLECULAR MODELING
Edited by J Devillers
352 pages and 4pp colour plate section,
ISBN: 0-12-213810-4